Executive Certificatein Big Data & Analyticsfor Business

Introduction

In recent years, the words “Big Data” has been on everyone’s l ips. No matter to the business or technical prac t i t ioners , i t i s increas ing ly important to be equipped with basic and key knowledge of data analytics in order to catch up with the big data era and further inject value to their career.

This programme aims to provide students with core concepts, real case studies and practical techniques about the application of big data and analytics for businesses. It is especially for those who are new to data analytics and would like to explore how big data applications can be useful in their business or career.

Partnership with

Highlights Complete an Executive Certificate course in 2 months

Meet experienced Big Data Scientists from the commercial sectors

Practise with scenario-based simulation tasks to solve real business problems

Visit to the Data Studio at Hong Kong Science Park

Get a chance to be awarded the Best Big Data Application Idea

Module 1 : Understanding Big Data, How It Appliesto the Business World and Data Preparation

Programme Structure

The programme consists of two modules. There is a total of 45 hours of lectures including a group presentation.

Module 1: Understanding Big Data, How It Applies to the Business World and Data Preparation

Module 2: Introducing Fundamentals of Big Data Analysis Models and Result Measurement of Big Data Projects

UNIT 1 : Understanding of Big Data

What is Big Data and why Big Data 3 types of data Characteristics of Big Data (6Vs)

Volume, Velocity, Variety, Veracity, Valence, Value How does Big Data apply to the business world What are and what are not Big Data problems

UNIT 3 : The importance and practical technique of data cleansing

How to enrich and transform your data set How to deal with your huge database in Excel spreadsheets How to consolidate multiple spreadsheets How to standardize different input pattern of the same data field How to link-up different data of the same customers from different Excel spreadsheets

Hands-on Experience*:

Introduction to R language and run basic R codes to standardize data into different formats Introduction to relational database concept and run simple SQL statements to link-up data from

different Excel spreadsheets

How to build a Big Data strategy How to define a correct Big Data question How to build a Data Science Team Data privacy issues

Case Studies: Airbnb, Allstate Insurance

UNIT 2 : How to prepare data from different sources

Collect data from online channels: social media, websites, Google Form and Google Analytics Collect data from open data sources: DataOne, the Data Studio at Hong Kong Science Park

Case Studies: New York Times

Hands-on Experience*:

Introduction to Python and run basic Python code to capture data from Facebook

Module 2 : Introducing Fundamentals of Big Data Analysis Models and Result Measurement of Big Data Projects

UNIT 4 : The fundamentals of Big Data predication models

How to set an objective for data analysis What is a prediction model? Differences between business intelligence and

Big Data analytics Overview of Big Data prediction models

3 most popular Big Data prediction models applying on marketing: i) Customer Segmentation ii) Up-selling and Cross-selling iii) Customer Retention

UNIT 7 : Group presentations, guest speakers & award presentation

Group Project: Understand how Big Data applications can have a good impact to society problems.

Visit to the Data Studio at Hong Kong Science Park

Case Studies: Bank, e-Commerce, Retail and Telecommunications Industry

UNIT 5 : How to visualize your data and find out insights

What is data visualization? Presentation of Big Data in graphical format for grasping difficult concepts or identifying patterns How to organize marketing dashboards with interactive charts Explore info-graphics creation for marketing story-telling

Hands-on Experience*:

Use popular data visualization tool Tableau to generate real data reports Design an interactive graph with a freeware Plotly and Excel

UNIT 6 : How to measure the success of a Big Data analytics project

How to turn the insights from business analysis into action How to evaluate the predictive power and accuracy of your models How to measure the success of data analytics/ KPI setting

Case Studies: Logistics Industry, Telecommunications Industry, Digital Advertising Industry

* Although no prior programming knowledge is required, students are expected to be guided in “learning by doing” to perform some simple programming tasks in order to strengthen their foundation and mindset on Big Data applications.

Lecturers

Mr. Ivan Ng

Ivan Ng is one of the earliest certified big data experts in Hong Kong, and who has successfully introduced many well-structured big data training sessions since 2012. He has delivered 50+ big data related trainings for over 1,000 participants in the past years. Participants include OGCIO, Hong Kong Monetary Authority, Education Bureau, AXA Insurance, Fedex Express, HP, HKPC, etc. Being the founder of Lively Impact and the Non-Executive Technology Director of Radica Systems, Ivan has huge experience in helping clients from process design, prediction model implementation, to performance evaluation in data analytics projects across different industries.

Mr. Brian Tsang

Brian Tsang is a Data Analytics Consultant at Radica Systems, and an active data scientist on Kaggle, a global crowdsourcing platform for predictive modeling and big data analytics competition since 2010. In addition to holding a MSc in Applied Mathematics for Science and Technology plus a certificate in Data Science Specialization with distinction, Brian has over 5 years of professional training experience on course content design and development for subjects in Information, Communications and Technology.

Programme Tel : 3762 6188 E-mail: course@centennialcollege.hku.hk Enquiry Fax : 2551 2130 Website: http://mgt.centennialcollege.hku.hk Centennial College, School of Management, Room 310, 3 Wah Lam Path, Pokfulam Road, Hong Kong .

Target ParticipantsSenior and middle-level IT professionals, digital marketing, customer relationship management, sales, e-Commerce, business leaders, heads of department, entrepreneurs, etc. Other participants who are keen to leverage data to make smarter and quicker decisions are welcome to join the course.

Entry Requirements1. A recognized degree in any discipline; or

2. A recognized Associate Degree / a Higher Diploma or equivalent, and at least 2 years of work experience; or

3. Professional qualifications.

Applicants with other qualifications and substantial senior level work experience will be considered on individual merits.

AssessmentThe programme will be assessed by one group presentation.

AwardAn “Executive Certificate in Big Data & Analytics for Business” will be awarded to students who attend 70% of the class and pass the group presentation.

Medium of InstructionCantonese, supplemented with course materials in English

To obtain course details including course fee, programme schedule and application procedure, please refer to the separate application form.

Lecturers and guest speakers are subject to change based on his / her availability.

Details and brochure downloadhttp://course.centennialcollege.hku.hk